Abstract #2132

Quantifying tumour oxygenation using streamlined-qBOLD

Alan J Stone¹, Esther AH Warnert², Puneet Plaha^3,4, Natalie L Voets^1,3, and Nicholas P Blockley¹

¹Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, ²Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, ³Department of Neurosurgery, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom, ⁴Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

Hypoxia and high metabolic demand are important identifying features of high-grade gliomas. Imaging methods capable of mapping tissue oxygenation therefore have the potential to provide non-invasive information about the metabolic environment of tumour tissue and may produce useful markers for stage grading and monitoring treatment efficacy. Here we demonstrate the use of streamlined-qBOLD for mapping tumour oxygenation.

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